DocumentCode
395171
Title
The Modular Neural Predictive Coding architecture
Author
Chetouani, M. ; Gas, B. ; Zarader, J.L.
Author_Institution
Lab. des Instruments et Systemes d´´Ile de France, Paris VI Univ., France
Volume
1
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
452
Abstract
We present a new architecture called the Modular Neural Predictive Coding architecture (Modular NPC). This architecture is used for speech discriminant feature extraction (DFE). We present an application of the modular NPC architecture on phoneme recognition task. The phonemes which are extracted from the Darpa-Timit speech database are: vowels, /b/-/d/-/g/ and /p/-/t/-/k/ phonemes. Comparisons with coding methods (LPC, MFCC, PLP) are presented.
Keywords
audio databases; feature extraction; neural net architecture; speech recognition; Darpa-Timit speech database; Modular Neural Predictive Coding architecture; coding methods; modular NPC architecture; phoneme recognition; speech discriminant feature extraction; vowels; Feature extraction; Linear predictive coding; Linearity; Mel frequency cepstral coefficient; Optimized production technology; Predictive coding; Predictive models; Speech processing; Speech recognition; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1202211
Filename
1202211
Link To Document